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FAKTOR-FAKTOR YANG MEMENGARUHI KETIMPANGAN PENDAPATAN DI JAWA TENGAH Abdulah, Rusli
JEJAK: Jurnal Ekonomi dan Kebijakan Vol 6, No 1 (2013): March 2013
Publisher : Semarang State University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jejak.v6i1.3747

Perhatian ekonom terhadap masalah ketimpangan sangatlah kurang. Kondisi ini juga dilakukan oleh lembaga dunia (Bank Dunia dan UNDP) terutama di bidang kemiskinan, serta pemerintah kita. Dampak kebijakan yang bias antara kemiskinan dan penanggulangan ketimpangan sosial dapat dilihat dari data. Di Indonesia, khususnya Jawa Tengah, selama periode 2002-2011, pertumbuhan ekonomi di Jawa Tengah meningkat disertai dengan pengurangan kemiskinan. Namun ketimpangannya meningkat. Tujuan dari penelitian ini adalah untuk menganalisis determinan pendapatan yang timpang di Jawa Tengah dari tahun 2002 sampai dengan 2011. Panel metode Data regerssion digunakan untuk mencapai tujuan penelitian ini. Ada 35 data cross section yang mewakili setiap kabupaten dan data seri selama 10 tahun Uji F dan uji Hausman menunjukkan bahwa model efek random terbatas adalah yang terbaik untuk analisis. Hasil penelitian menunjukkan bahwa hanya ada dua variabel yang signifikan yang menyebabkan ketimpangan (share of economic output received by employers wages). Sementara itu, dua variabel lain tidak signifikan (urbanization and dependency ratio).The attention of economist to the problem of inequality is weak. This condition is followed by the world institution (World Bank and UNDP) which concerns in the areas of poverty, as well as our government. The impact of biased policy between poverty and inequality reduction can be seen from the data. In Indonesia, especially Central Java, during the period of 2002 to 2011, economic growth in Central Java increased accompanied by poverty reduction. However inequality increasedThe purpose of the study is to analyze the determinant of inequality income in Central Java from 2002 up to 2011. Panel data regerssion method is used to achieve the objectives of this study. There are 35 cross section data represent every regency and 10-years data series. F test and Hausman test indicate that restricted random effect models are best for analysis. The result shows that there are only two significant variables that determine inequality (share of economic output received by employers wages). Meanwhile, the other two variables are not significant (urbanization and dependency ratio).

FAKTOR-FAKTOR YANG MEMENGARUHI KETIMPANGAN PENDAPATAN DI JAWA TENGAH Abdulah, Rusli
JEJAK: Jurnal Ekonomi dan Kebijakan Vol 6, No 1 (2013): March 2013
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jejak.v6i1.3747

Perhatian ekonom terhadap masalah ketimpangan sangatlah kurang. Kondisi ini juga dilakukan oleh lembaga dunia (Bank Dunia dan UNDP) terutama di bidang kemiskinan, serta pemerintah kita. Dampak kebijakan yang bias antara kemiskinan dan penanggulangan ketimpangan sosial dapat dilihat dari data. Di Indonesia, khususnya Jawa Tengah, selama periode 2002-2011, pertumbuhan ekonomi di Jawa Tengah meningkat disertai dengan pengurangan kemiskinan. Namun ketimpangannya meningkat. Tujuan dari penelitian ini adalah untuk menganalisis determinan pendapatan yang timpang di Jawa Tengah dari tahun 2002 sampai dengan 2011. Panel metode Data regerssion digunakan untuk mencapai tujuan penelitian ini. Ada 35 data cross section yang mewakili setiap kabupaten dan data seri selama 10 tahun Uji F dan uji Hausman menunjukkan bahwa model efek random terbatas adalah yang terbaik untuk analisis. Hasil penelitian menunjukkan bahwa hanya ada dua variabel yang signifikan yang menyebabkan ketimpangan (share of economic output received by employers wages). Sementara itu, dua variabel lain tidak signifikan (urbanization and dependency ratio).The attention of economist to the problem of inequality is weak. This condition is followed by the world institution (World Bank and UNDP) which concerns in the areas of poverty, as well as our government. The impact of biased policy between poverty and inequality reduction can be seen from the data. In Indonesia, especially Central Java, during the period of 2002 to 2011, economic growth in Central Java increased accompanied by poverty reduction. However inequality increasedThe purpose of the study is to analyze the determinant of inequality income in Central Java from 2002 up to 2011. Panel data regerssion method is used to achieve the objectives of this study. There are 35 cross section data represent every regency and 10-years data series. F test and Hausman test indicate that restricted random effect models are best for analysis. The result shows that there are only two significant variables that determine inequality (share of economic output received by employers wages). Meanwhile, the other two variables are not significant (urbanization and dependency ratio).

Internet and Farmers Wellbeing: Evidence from Indonesia Sugiharti, Rr. Retno; ABDULAH, RUSLI; Rahmayani, Dwi; Eka Asmarani, Tuti
MIMBAR : Jurnal Sosial dan Pembangunan Volume 40, No. 2, (December 2024) [Accredited Sinta 3, No 79/E/KPT/2023]
Publisher : UPT Publikasi Ilmiah (Universitas Islam Bandung)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/mimbar.v40i2.2100

This study aims to investigate the impact of internet usage types on the welfare of farmer households, focusing specifically on the distinction between internet use for trade and non-trade activities. Using Ordinary Least Squares (OLS) regression analysis on data from the 2020 SUSENAS (National Socioeconomic Survey) household survey, the study examines farmer households where the head of the household has internet access. The analysis explores how different uses of the internet correlate with household well-being and economic outcomes. The findings indicate that farmer households with internet access exhibit significantly higher welfare levels compared to those without internet. Notably, farmer households using the internet for commercial purposes—such as selling and purchasing goods or services—enjoy a marked improvement in welfare compared to those who only use the internet for non-trade activities. Households that access the internet solely for activities like reading news, social media browsing, or exchanging emails tend to experience lower welfare levels relative to those engaging in trade-related online activities. This study highlights the importance of promoting digital trade literacy and enabling rural internet infrastructure to maximize the potential benefits of internet access in farming communities. By understanding how internet access types impact farmer welfare, policymakers can better support the digital transformation of rural areas, aiming to improve socioeconomic conditions through targeted interventions. This research underscores the transformative potential of internet access when harnessed for trade purposes, offering valuable insights for rural development strategies.

Toward a Digitalized Economy: The Impact of Digital Index Performance on The Economic Growth in Indonesia Rahmayani, Dwi; Abdulah, Rusli; Suseno, Deky Aji
Eko-Regional: Jurnal Pembangunan Ekonomi Wilayah Vol 20 No 1 (2025): March 2025
Publisher : Faculty of Economics and Business Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/er.v20i1.13650

Nowadays, the world relies heavily on digitalization. This study aims to analyze the effect of digitalization on economic growth in Indonesia. This study used panel data from 32 provinces in Indonesia, ranging from year 2017 to 2023. This study employed fixed and dynamic panel models with economic growth as the dependent variable and stock of capital and labor digitalization as independent variables. Digitalization is proxied by the access and infrastructure sub-index, the usage sub-index, and the skills sub-index. The estimation result shows that variables of stock of capital, labor, and digital economic development in Indonesia positively affect economic growth, and we also find that heterogeneity effects exist between different provinces. However, there is no significant effect on the dynamic panel models on generalized method moment. The results draw three implications: increasing investment in physical capital stock, improving human capital quality, and promoting Information and Communication Technology (ICT) readiness.

Toward a Digitalized Economy: The Impact of Digital Index Performance on The Economic Growth in Indonesia Rahmayani, Dwi; Abdulah, Rusli; Suseno, Deky Aji
Eko-Regional: Jurnal Pembangunan Ekonomi Wilayah Vol 20 No 1 (2025): March 2025
Publisher : Faculty of Economics and Business Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/er.v20i1.13650

Nowadays, the world relies heavily on digitalization. This study aims to analyze the effect of digitalization on economic growth in Indonesia. This study used panel data from 32 provinces in Indonesia, ranging from year 2017 to 2023. This study employed fixed and dynamic panel models with economic growth as the dependent variable and stock of capital and labor digitalization as independent variables. Digitalization is proxied by the access and infrastructure sub-index, the usage sub-index, and the skills sub-index. The estimation result shows that variables of stock of capital, labor, and digital economic development in Indonesia positively affect economic growth, and we also find that heterogeneity effects exist between different provinces. However, there is no significant effect on the dynamic panel models on generalized method moment. The results draw three implications: increasing investment in physical capital stock, improving human capital quality, and promoting Information and Communication Technology (ICT) readiness.

Mapping Food Security in Indonesia: Geographic Clusters and Regional Disparities Abdulah, Rusli
Indonesian Journal of Geography Vol 57, No 3 (2025): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.99419

Food security has become a global issue, and represents the first of the Sustainable Development Goals, which is zero hunger. Many countries, including Indonesia, have set food security as the central policy on their development agenda. There has been some research into food security issues, but primarily this has no spatial context. This research identifies spatial clusters—high-high, low-low, high-low, and low-high—across four food security measures: the Food Security and Vulnerability Atlas, the Dietary Diversity Score, the Food Variety Score, and the Calorie Intake. It explores 514 districts in Indonesia for 2019 using Exploratory Spatial Data Analysis (ESDA, Global Moran’s I) and Local Indicators of Spatial Association (LISA). The data for measuring food security come from SUSENAS (the National Socio-Economic Survey), Statistics of Indonesia and the National Food Agency. The research reveals the presence of regional food security in Indonesia. Eastern Indonesia faces challenges from food insecurity issues. The LISA result shows that there are low-low clusters in eastern Indonesia because of geographical isolation, poor economic performance, and a lack of infrastructure. Conversely, high clusters in western Indonesia, especially in Java Island, benefit from favorable agricultural conditions, a robust infrastructure, and diverse food markets. High-low clusters highlight that there are urban centers with better food access amidst less secure areas, while low-high clusters face economic and logistical challenges despite being near food-secure regions. This local analysis offers nuanced insights beyond the results of a standard ESDA, emphasizing the need for tailored policies to address regional disparities. Future research should explore the determinants of food security using spatial and non-spatial econometric approaches and should apply convergence analysis to identify the factors driving prosperous regions, providing benchmarks for enhancing food security across all districts.

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